Triple
T20569767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Blackman |
E505060
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Harrow East |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Harrow East | Statement: [Bob Blackman, represents, Harrow East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrow East Context triple: [Bob Blackman, represents, Harrow East]
-
A.
Harrow East
chosen
Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
-
B.
Harrow Green
Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
-
C.
North Harrow
North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
-
D.
Harrow West
Harrow West is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
-
E.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a4b90c81909854dac72f671eec |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.